Evidence map›Paper›PMID 36530701›Full record

ReviewFrontiers in public health2022

The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China.

Ping Fan, Shu Zhang, Weiya Wang, Zongze Yang, Weiwei Tan, Shujun Li, Chenxing Zhu, Dan Hu, Xinran Zhou, Zixuan Tian and 4 more

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Observational
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ping FanWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Shu ZhangWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Weiya WangDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Zongze YangWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Weiwei TanWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Shujun LiWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Chenxing ZhuDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.
Dan HuDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.
Xinran ZhouWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Zixuan TianWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Yaxi WangWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Fang LiuDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.
Wei HuangWest China Biobanks and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Lei ChenDepartment of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The West China Hospital of Sichuan University collaborated with regional medical consortia in Sichuan Province to launch a natural population cohort study (NPCS) to investigate the health status of residents and collect public health data in southwest China. Methods: Up to 80,000 participants will be enrolled by the NPCS from 11 regional medical consortia over five years. Individuals are invited to visit one of 11 participating medical consortia to fill out questionnaires, receive a free health exam, and donate biospecimens upon enrolment. All participating medical facilities adhered to standard operating procedures for collecting and processing biospecimens to ensure uniformity (serum, lithium heparinized plasma, ethylene diamine tetraacetie acid plasma, and buffy coat). The Electronic Data Capture System, Picture Archiving and Communication System, Laboratory Information Management System, Biospecimen Quality Control System, Biobank Information Management System, and will be used to sort and classify clinical indices, imaging data, laboratory parameters, pre-analytical variables, and biospecimen information, respectively. All quality assurance and quality control procedures in the NPCS biobank adhered to the "DAIDS Guidelines for Good Clinical Laboratory Practice Standards". This project will integrate high-dimensional multi-omics data, laboratory data, clinical data, questionnaire data, and environmental risk factors. Results: An estimated 2,240,000 aliquots of the sample will be stored by the end of the study. These samples are linked with comprehensively collected clinical indices, imaging data, and laboratory parameters. Big data analysis can be implemented to create predictive algorithms, explore pathogenesis mechanisms, uncover potential biomarkers, and provide information on public health. Conclusions: NPCS will provide an integrative approach to research risk factors and pathogenesis of major chronic or endemic diseases in Sichuan Province and provide key scientific evidence to support the formulation of health management policies in China.

Indexed as

Biological Specimen BanksBiomarkersChinaCohort StudiesHumansSurveys and QuestionnairesBiomarkersbig dataBiobankhealth management policiesmedical consortianatural population cohort study

Identifiers

PMID36530701
PMCPMC9751194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.